Scaling Up LLM Agents: Unlocking Enhanced Performance Through Simplicity

While large language models (LLMs) excel in many areas, they can struggle with complex tasks that require precise reasoning. Recent solutions often focus on sophisticated ensemble methods or frameworks where multiple LLM agents collaborate. These approaches certainly improve performance, but they add layers of complexity. However, what if a simpler strategy could lead to significant […]

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